Philosophers and authors may dismiss consistency as an overrated refuge for unimaginative minds, but when it comes to industrial strength data quality efforts, it proves to be a necessity.
Data governance efforts, in early stages for many firms, require navigation of the divide between business and IT units, as well as cost, data quality and value concerns. Michael Shashoua reports on a discussion held during a March 6 webcast
Inside Reference Data gathered leading industry experts for a webcast on March 6, 2014 to discuss how financial trading firms are managing data governance considerations in light of increased management focus.
Most data governance programs pay inadequate attention to the quality of data when it is motion, but this oversight can be corrected, writes Angsuman Dutta, senior vice president of professional services at Infogix
Data quality improvement efforts—even those aimed at making the process simpler—are proving to be a complex mix involving different actions for different types of data, regulations to contend with, and management issues to be grasped. Michael Shashoua…
Inside Reference Data gathered leading industry experts for a webcast on December 17, 2013 to discuss what financial trading firms are doing to improve data quality and the measures they are taking in light of increased reporting rules and regulation.
Last week’s confessions by three top US execution services providers regarding failures to match the national best bid and offer (NBBO) came as a surprise, and the fallout is unclear.
In the fast-paced, risk-prone world of securities trading, establishing a business operations management methodology is a must.